Transferência internacional de tecnologia: um estudo em uma multinacional do setor de coloríficios do Sul de Santa Catarina

Trabalho de Conclusão de Curso apresentado para obtenção do grau de Bacharel, no curso de Administração de Empresas, da Universidade do Extremo Sul Catarinense, UNESC.Dentro de um âmbito organizacional competitivo, a transferência de tecnologia tem se tornado um diferencial para as empresas. Sendo a inovação um ponto de liderança no mercado, a transferência de tecnologia tem incentivado e contribuído para as inovações dentro das organizações, principalmente multinacionais, ao qual apresentam mais facilidade para que a transferência seja aplicada de forma mais rápida, devido ao seu relacionamento externo. Neste contexto, o estudo objetivou analisar os processos de transferência internacional de tecnologia em uma multinacional do setor de colorifício do Sul de Santa Catarina. Metodologicamente, foi realizado um estudo de caso, uma pesquisa descritiva e bibliográfica, com abordagem qualitativa. O universo envolvido na pesquisa foi uma empresa multinacional do setor de colorifício, localizada no Sul de Santa Catarina. Entre os processos de transferência de tecnologia, o que mais se utiliza dentro da empresa é o compartilhamento de informações (know-how), exercido de forma intra-empresa ou top down, aplicado diretamente em seus produtos e serviços. Assim a empresa mantem-se com um diferencial competitivo em relação ao mercado interno por meio da sua constante inovação

PROCESSOS DE TRANSFERÊNCIA INTERNACIONAL DE TECNOLOGIA EM UMA MULTINACIONAL ESPANHOLA

PROCESSOS DE TRANSFERÊNCIA INTERNACIONAL DE TECNOLOGIA EM UMA MULTINACIONAL ESPANHOL

ATIVIDADES DE GESTÃO DO CONHECIMENTO ENTRE EXTENSIONISTAS E EMPRESAS INCUBADAS: ESTUDO DE CASOS NA INCUBADORA DA UNESC

A era do conhecimento trouxe às empresas novas transformações e parâmetros. Estas modificações são analisadas através da Gestão de Conhecimento, o qual cria para empresa a valorização do conhecimento como um recurso estratégico. Neste contexto, o estudo tem por objetivo analisar a influência da teoria da gestão do conhecimento empregada nos trabalhos de empresas incubadas da Itec.in avaliadas por meio da extensão universitária. Pode-se classificar a pesquisa, quanto aos fins como descritiva e aplicada. Estudo de caso e campo quanto aos meios de investigação, com abordagem qualitativa. O universo da pesquisa é constituído por três casos de empresas incubadas, que desenvolvem produtos e/ou serviços tecnologicamente inovadores. Por meio de reuniões foram transmitidos conhecimentos empíricos e formalizados por meio dos extensionistas, aplicando o Business Model Canvas (BMC) e o Plano de Negócios. Conclui-se que a influência na Gestão do Conhecimento por meio tácito obtido com informações advindos de experiências na empresa incubada e o explícito advindo do conhecimento teórico dos extensionistas para elaboração das ferramentas administrativas. Portanto, as somas dos conhecimentos construídos complementam um ao outro

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations